Before using this handler for logging you will need to create a capped collection on the mongodb server.
You can do this using the following commands in the mongo shell:
> use mongolog
> db.createCollection('log', {capped:true, size:100000})
... and you are ready. Running stats() on log collection should show something like this:
> db.log.stats()
{ "ns" : "mongolog.log", "count" : 0, "size" : 0, "storageSize" :
100096, "numExtents" : 1, "nindexes" : 0, "lastExtentSize" : 100096,
"paddingFactor" : 1, "flags" : 0, "totalIndexSize" : 0, "indexSizes" : {
}, "capped" : 1, "max" : 2147483647, "ok" : 1 }
import logging
from mongolog.handlers import MongoHandler
log = logging.getLogger('demo')
log.setLevel(logging.DEBUG)
log.addHandler(MongoHandler.to(db='mongolog', collection='log'))
log.debug('Some message')
Check the samples folder for more details
- easy troubleshouting:
- having the answers to why? quickly and accurately
- for troubleshouting while the system is down
- removed risk of loss of log information
- resource tracking
- security
"Mongo is a high-performance, open source, schema-free document-oriented database."
It can eficiently store arbitrary JSON objects. You can read more at http://www.mongodb.org/
- MongoDB inserts can be done asynchronously
- old log data automatically LRU's out thanks to capped collections
- it's fast enough for the problem
- document-oriented / JSON is a great format for log information
Read more about this subject on the mongoDB blog: http://blog.mongodb.org
Have fun!